Self Validation Loop

---
name: self-validation-loop
description: Run self-validation loops for triadic color systems using prediction
version: 1.0.0
---


# Self-Validation Loop

Use when training or evaluating self-validation for 3-stream color systems.

## Inputs
- seed, indices
- sources: splitmix_ternary, xoroshiro_3color, gay_mcp
- comparator: reafference or comparator

## Workflow
1. Predict expected colors (efference copy).
2. Observe actual colors (color_at or stream generation).
3. Compare predictions with observations.
4. Aggregate accuracy and surprise.

## Gay MCP tools
- gay_seed, efference_copy, color_at, reafference, comparator, active_inference, self_model

## Metrics
- accuracy = matches / total
- surprise = mismatch count or summed error
- pass threshold: accuracy >= 0.99 or surprise == 0

## Output
- JSON log with seed, indices, predicted, observed, errors, accuracy, surprise

## Example prompt
"Run a self-validation loop over indices 1..20 and report accuracy and surprise."



## Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

### Graph Theory
- **networkx** [○] via bicomodule
  - Universal graph hub

### Bibliography References

- `general`: 734 citations in bib.duckdb

## Cat# Integration

This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:

```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```

### GF(3) Naturality

The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```

This ensures compositional coherence in the Cat# equipment structure.